Foundations Of Neural Networks
SSIE-631-20
Binghamton University
- Semester
- Fall 2025
- Instructor
- Sarah Lam
- Start Date
- 08-19-2025
- Total Credits
- 3
- Call to Register
- 607-777-6088
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Covers theory and practical applications of artificial neural networks. Neural networks are a broad class of computing mechanisms with active research in many disciplines, including all types of engineering, physics, psychology, biology, mathematics, business, medicine and computer science. Emphasizes the practical use of neural networks for industrial problems such as pattern recognition, predictive models, pattern classification, optimization and clustering. Topics include learning rules, paradigms and validation. Prerequisites: SSIE 505 or equivalent, SSIE 520, and knowledge of at least one programming language. Term offered varies. 3 credits Distance learning course: To register for a distance education course, please contact Janice Kinzer by email (jkinzer@binghamton.edu) or call 607-777-4965.
Prerequisites:
SSIE 505 or equivalent, SSIE 520, and knowledge of at least one programming language
Course Area: Engineering
Level: Graduate
Dates: 08-19-2025 - 12-05-2025
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- Instructor: Sarah Lam
- Local Course ID: 25FA_BIN_SSIE631_20
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